DocumentCode :
2459700
Title :
Biometric fingerprint authentication with minutiae using ridge feature extraction
Author :
Lomte, Archana C.
Author_Institution :
Dept. of Comput., Jspm´s Bhivrabai Sawant Inst. of Technol. & Res., Pune, India
fYear :
2015
fDate :
8-10 Jan. 2015
Firstpage :
1
Lastpage :
6
Abstract :
Fingerprint matching is done using many ways, for example considering ridge features. As an extension we propose to use bifurcations along with ridge patterns. The ridges along with bifurcations are considered as minutiae. These minutiae along with their position (i.e. x and y co-ordinates) and orientations are saved as features. We propose a novel matching scheme to detect the matched minutiae pairs incrementally. Following that, the maximum score is computed and used as the final matching score of two fingerprints.
Keywords :
bifurcation; feature extraction; fingerprint identification; image matching; bifurcations; biometric fingerprint authentication; fingerprint matching; minutiae pair matching; ridge feature extraction; Authentication; Bifurcation; Estimation; Feature extraction; Fingerprint recognition; Image matching; Nonlinear distortion; Breadth first search; Minutiae; Preprocessing Steps; Ridge based coordinate system; Ridge feature; Ridge-Count;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing (ICPC), 2015 International Conference on
Conference_Location :
Pune
Type :
conf
DOI :
10.1109/PERVASIVE.2015.7087178
Filename :
7087178
Link To Document :
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